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4.0 Solutions Podcast

Author: Walker Reynolds

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Join Walker Reynolds and guests from across the manufacturing industry for practical, candid conversations about Industry 4.0, digital transformation, and the technologies reshaping modern manufacturing.

From Unified Namespace (UNS), Industrial IoT (IIoT), and Manufacturing Execution Systems (MES) to industrial AI, automation, and digital strategy, we explore what's working, what's not, and what manufacturers need to understand to make better technology and business decisions.

Hosted by 4.0 Solutions.

Explore our free and paid educational courses, workshops, and programs at https://www.iiot.university
220 Episodes
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Manufacturers spend a lot of time connecting machines, systems, and data platforms. But what happens when the infrastructure supporting those connections starts to fail? In this episode, Walker Reynolds is joined by Eric Eckman, OT Channel Manager, US, and David Montoya, Head of Operational Technology at Paessler, to discuss the role of infrastructure monitoring in modern industrial environments and where Paessler PRTG fits into the Industry 4.0 architecture. They’ll get into the challenges of monitoring across IT, OT, and IIoT, how technologies like OPC UA, Modbus, and MQTT fit into the picture, and why visibility into network and infrastructure health matters alongside SCADA, MES, and the Unified Namespace.
What happens when industrial data has context, relationships, and meaning — not just tags and timestamps? Join Walker Reynolds for a live Problem Solvers session with Flow Software Co-Founder and CEO Graeme Welton and Chief Customer Officer Leonard Smit as they demonstrate the power of knowledge graphs using Timebase Atlas. They’ll show how Atlas can model the relationships between equipment, processes, systems, and operational data — and how that added context can help engineers, operators, and AI agents better understand what is happening inside a manufacturing environment and why. This will be a practical look at what knowledge graphs can actually do in industry, where they fit alongside architectures like the Unified Namespace, and how manufacturers can begin turning connected data into connected knowledge.
Join Walker Reynolds live for an open Industry 4.0 Q&A. We’ll be answering questions submitted by the Industry 4.0 Community across YouTube and Discord, covering the topics manufacturers, integrators, and technologists are working through right now.
How should manufacturers approach storing, querying, and analyzing industrial time-series data? In this episode of Problem Solvers: Inside the Stack, Walker Reynolds and the Tiger Data team explore the challenges of managing large volumes of industrial data, the role of time-series databases, and how modern data infrastructure supports industrial applications and analytics. This episode is adapted from our live technical webinar. For the complete demonstration and visual walkthrough, watch the original episode on YouTube. Full Video: https://youtube.com/live/teZIhraG2MI Explore more educational content at https://www.iiot.university
Knowledge graphs are becoming an increasingly important part of the Industry 4.0 conversation — especially as manufacturers look for better ways to give data context, capture relationships, and prepare industrial systems for AI. In this episode, Walker Reynolds is joined by Jeff Knepper, President of Flow Software, and Graeme Welton, CEO and Co-Founder, to discuss what knowledge graphs actually are, where they fit alongside the Unified Namespace, and why modeling the relationships between equipment, processes, materials, and operational data matters. They’ll also get into Flow Software’s Atlas, early industrial use cases, and how knowledge graphs can help move manufacturers from simply connecting data to actually understanding how the operation is connected.
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